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Grant: Discovery Grants Program - Individual

York University

$15,000.00

Computational biology of protein and messenger RNA dynamics

FY 2010-11

Summary
Proteins and messenger RNA carry out their biological functions in the cell as macromolecules with a repertoire of structures available and with their stability depending on physiological and environmental conditions. Sequencing and structural data accumulated in public databases wait to be explored systematically to infer the factors of macromolecular dynamics and to generate new, experimentally testable hypotheses on protein and messenger RNA dynamics. The proposed research utilizes several modes of computational and high-throughput biology to discover novel determinants of transcript stabilities in the expressed genome of eukaryotic species, including humans. Messenger transcript stabilities are an important factor in gene regulation: Because transcripts have different binding affinities for interacting proteins, their lifetime and therefore availability for protein synthesis depends on the presence of sequence motifs and their presentation as either single-strand or base-paired local structures. The proposed research will capitalize on previous microarray-based research on the processing and stability of both coding and non-coding RNA and launch a comprehensive computational and systems biology investigation of sequence and structure motifs in the untranslated regions of messenger RNAs and their statistical associations with transcript fate in terms of lifetime, affinity to RNA-binding proteins and cytoplasmic localization. Generically, through the study of yeast as a model organism, and for gene regulation in two selected focal areas: immunology and oxidative metabolism, the research will include experimental collaborations and is expected to lead to new insights in posttranscriptional gene regulation with applications in basic biology, RNA-based biotechnology and RNAi-based gene therapy.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
311597-2008
Name nom
Grigull, Jorg
Department département
Mathematics and Statistics
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2008
Award amount
15000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
21
Committee name en
Interdisciplinary
Committee name fr
Interdisciplinaire
Area of application code
1201
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Life sciences (including biotechnology)
Area of application fr
Sciences de la vie (y compris biotechnologie)
Research subject code
5300
Research subject group en
Molecular biology
Research subject group fr
Biologie moléculaire
Research subject en
Molecular biology
Research subject fr
Biologie moléculaire
Partie
3
Nb partie
3
Application title
Computational biology of protein and messenger RNA dynamics
Keyword
NSERC
Application summary
Proteins and messenger RNA carry out their biological functions in the cell as macromolecules with a repertoire of structures available and with their stability depending on physiological and environmental conditions. Sequencing and structural data accumulated in public databases wait to be explored systematically to infer the factors of macromolecular dynamics and to generate new, experimentally testable hypotheses on protein and messenger RNA dynamics. The proposed research utilizes several modes of computational and high-throughput biology to discover novel determinants of transcript stabilities in the expressed genome of eukaryotic species, including humans. Messenger transcript stabilities are an important factor in gene regulation: Because transcripts have different binding affinities for interacting proteins, their lifetime and therefore availability for protein synthesis depends on the presence of sequence motifs and their presentation as either single-strand or base-paired local structures. The proposed research will capitalize on previous microarray-based research on the processing and stability of both coding and non-coding RNA and launch a comprehensive computational and systems biology investigation of sequence and structure motifs in the untranslated regions of messenger RNAs and their statistical associations with transcript fate in terms of lifetime, affinity to RNA-binding proteins and cytoplasmic localization. Generically, through the study of yeast as a model organism, and for gene regulation in two selected focal areas: immunology and oxidative metabolism, the research will include experimental collaborations and is expected to lead to new insights in posttranscriptional gene regulation with applications in basic biology, RNA-based biotechnology and RNAi-based gene therapy.